Studying complex biological systems using multifactorial perturbation. (Q52023388)

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scientific article published in February 2003

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English	Studying complex biological systems using multifactorial perturbation.	scientific article published in February 2003

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scholarly article

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Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

review article

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Europe PubMed Central

title

Studying complex biological systems using multifactorial perturbation. (English)

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

author name string

Ritsert C Jansen

series ordinal

1

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

publication date

1 February 2003

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

published in

Nature Reviews Genetics

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

volume

4

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

issue

2

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

page(s)

145-151

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

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Correlation between protein and mRNA abundance in yeast

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Regulation of noise in the expression of a single gene

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Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer

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A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation

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How to reconstruct a large genetic network from n gene perturbations in fewer than n(2) easy steps

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Linking the genes: inferring quantitative gene networks from microarray data

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A genomic-systems biology map for cardiovascular function

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Complex interactions of new quantitative trait loci, Sluc1, Sluc2, Sluc3, and Sluc4, that influence the susceptibility to lung cancer in the mouse

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Identifiers

DOI

10.1038/NRG996

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

PubMed publication ID

12560811

1 reference

stated in

Europe PubMed Central

PubMed publication ID

12560811

retrieved

20 April 2018

reference URL

http://europepmc.org/abstract/MED/12560811

ResearchGate publication ID

10922744

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